Drumil Trivedi

Drumil Trivedi

Quantitative Researcher at AlphaGrep Securities

Indian Institute of Technology, Bombay

Biography

Previously, I graduated from IIT Bombay with B.Tech in Computer Science and Engineering and a Minor in Statistics.

During my undergraduate studies, I was fortunate to have worked with Prof. Sunita Sarawagi and Preethi Jyothi on improving domain-specific words for long speeches, and with Prof. Preethi Jyothi on unsupervised disfluency correction with collaboration with IBM Research India.

I spent the summer of 2020 with Barzilay Group @MIT CSAIL working on Diverse Question Generation. In Summer 2019, I worked with Prof. Edward Chung@HKPolyU on Origin-Destination Matrix Prediction. I have also interned with the Alistrah Group@IST Austria in Winter 2019 and contributed to domain adaptation and built tuning pipelines at Tvarit GmBh in Winter 2018, Summer 2021.

I am also a part of Mensa, the High IQ Society , and am always eager to connect with fellow Mensans.

Download my resumé.

Interests
  • NLP
  • Artificial Intelligence
  • Robotics
  • Finance
Education
  • BTech (Hons.) in Computer Science & Engg., 2021

    Indian Institute of Technology, Bombay

  • Minor in Applied Statistics and Informatics, 2019

    Indian Institute of Technology, Bombay

Full Time Experience

 
 
 
 
 
AlphaGrep Securities
Analyst - Quantitative Research and Trading
AlphaGrep Securities
Jun 2021 – Present Mumbai

Responsibilities include:

  • Writing Low Latency Code for High-Frequency Market Stratergies
  • Developing Alphas for Mid-Frequency Trading
  • Deploying stratergies and analysing performance

Recent Publications

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(2021). Disfluency Correction using Unsupervised and Semi-supervised Learning. In EACL 2021.

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